• DocumentCode
    393587
  • Title

    An approach to learning location information for a community support system

  • Author

    Ohguri, Kazuhisa ; Ito, Takayuki

  • Author_Institution
    Center for Knowledge Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
  • Volume
    1
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    324
  • Abstract
    In this paper, we propose a location information system based on the Bayesian learning. The system has been developed with the aim of supporting activity in a community. Recently, GPS has been used to detect location. However, GPS has a problem in that it fails to detect an exact location in some situations. Thus, we propose a mechanism based on the Bayesian learning, which can reason an exact location by using three types of location information.
  • Keywords
    Global Positioning System; belief networks; inference mechanisms; learning (artificial intelligence); public administration; Bayesian learning; GPS; community support system; intelligent systems; location information system; reasoning; Bayesian methods; Collaboration; Educational institutions; Event detection; Face detection; Global Positioning System; Information systems; Intelligent systems; Laboratories; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1195414
  • Filename
    1195414